lc82111

Keras_HED

Holistically-Nested Edge Detection in Keras

pytorch_morphological_dilation2d_erosion2d

An implementation for image (tensor) morphological dilation2d and erosion2d in pytorch

Active-Contour-Loss-pytorch

An unofficial pytorch implementation for "Learning Active Contour Models for Medical Image Segmentation" by Chen, Xu, et al.

IB-GAN

Code for paper IB-GAN: A modality conversion approach to MV-DRs and KV-DRRs registration using information bottlenecked conditional generative adversarial network

pyRad

python framework of radiotherapy inverse optimization

focal_loss_pytorch

pytorch_NCG

A embarrassing simple implementation of the nonlinear conjugate gradient in pytorch.

batched_pairwise_euclidean_distances_tensorflow

batched_pairwise_euclidean_distances_tensorflow

caffe2

Caffe2 is a lightweight, modular, and scalable deep learning framework.

cbct2ct

deep_sort

Simple Online Realtime Tracking with a Deep Association Metric

HeteroscedasticDropoutUncertainty

Demos demonstrating the difference between homoscedastic and heteroscedastic regression with dropout uncertainty.

IntroVAE-Pytorch

Pytorch Implementation for paper: IntroVAE: Introspective Variational Autoencoders for Photographic Image Synthesis

keras

Deep Learning library for Python. Runs on TensorFlow, Theano, or CNTK.

lc82111.github.io

matRad

An open source multi-modality radiation treatment planning sytem

mix-and-match

mtcnn

C++ project to implement MTCNN, a perfect face detect algorithm, on different DL frameworks. The most popular frameworks: caffe/mxnet/tensorflow, are all suppported now

numpy-opencv-converter

OpenCV <=> NumPy Converter using Boost::Python

nutracker

NUTracker.github.io

pose-residual-network

Code for the Pose Residual Network introduced in 'MultiPoseNet: Fast Multi-Person Pose Estimation using Pose Residual Network (ECCV 2018)' paper

pytorch-lightning

The lightweight PyTorch wrapper for ML researchers. Scale your models. Write less boilerplate

PyTorchCV

A PyTorch-Based Framework for Deep Learning in Computer Vision

Recurrent-Attention-Model-in-Tensorflow-with-clear-code

ResNeXt

Implementation of a classification framework from the paper Aggregated Residual Transformations for Deep Neural Networks

SegLoss

A collection of loss functions for medical image segmentation

segLosses

simpleCrossChannleNetwork

SwinUNETR